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1	Reading Comprehension in a Large Cohort of French First Graders from Low Socio-Economic Status Families: A 7-Month Longitudinal Study
	Gentaz, Edouard; Sprenger-Charolles, Liliane; Theurel, Anne...
	In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-00906680 ; PLoS ONE, Public Library of Science, 2013, 8 (11), pp.e78608. ⟨10.1371/journal.pone.0078608⟩ (2013)
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2	Neural responses to witnessing peer rejection after being socially excluded: fMRI as a window into adolescents' emotional processing.
	Masten, Carrie L; Eisenberger, Naomi I; Pfeifer, Jennifer H...
	In: Developmental science, vol 16, iss 5 (2013)
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3	Determinanten der Lesekompetenz bei Jugendlichen nicht deutscher Herkunftssprache. Zur Bedeutung der Spracherwerbsreihenfolge im Falle von Mehrsprachigkeit
	Marx, Alexandra; Stanat, Petra; Marx, Peter...
	In: Jude, Nina [Hrsg.]; Klieme, Eckhard [Hrsg.]: PISA 2009 - Impulse für die Schul- und Unterrichtsforschung. Weinheim u.a. : Beltz 2013, S. 111-131. - (Zeitschrift für Pädagogik, Beiheft; 59) (2013)
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4	Amount of therapy matters in very early aphasia rehabilitation after stroke: A clinical prognostic model
	Hankey, Graeme J.; Granger, Andrew; Rai, Tapan...
	In: Research outputs 2013 (2013)
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5	Determinanten der Lesekompetenz bei Jugendlichen nicht deutscher Herkunftssprache. Zur Bedeutung der Spracherwerbsreihenfolge im Falle von Mehrsprachigkeit ...
	Segerer, Robin; Marx, Alexandra; Stanat, Petra. - : Beltz, 2013
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6	The Identification of Authors using Cross Document Co-Referencing ...
	Kernot, David. - : UNSW Sydney, 2013
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7	Personal Academic Strategies for Success (PASS) Tool Administrator's User Manual
	Hewson, Jim H; Rice, Valerie J; Alfred, Petra
	In: DTIC (2013)
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8	A Language-Independent Approach to Automatic Text Difficulty Assessment for Second-Language Learners
	Shen, Wade; Williams, Jennifer; Marius, Tamas...
	In: DTIC (2013)
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9	fMRI and corpus callosum relationships in monozygotic twins discordant for handedness.
	Gurd, JM; Cowell, PE; Lux, S...
	In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2013)
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10	Topic marking in a Shanghainese corpus: From observation to prediction
	Arppe, Antti; Newman, John; Han, Weifang. - 2013
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11	Identification of vowel length, word stress, and compound words and phrases by postlingually deafened cochlear implant listeners.
	Morris, D; Magnusson, L; Faulkner, A...
	In: J Am Acad Audiol , 24 (9) 879 - 890. (2013) (2013)
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12	When voices get emotional: a corpus of nonverbal vocalizations for research on emotion processing.
	Lima, CF; Castro, SL; Scott, SK
	In: Behav Res Methods , 45 (4) 1234 - 1245. (2013) (2013)
	Abstract: Nonverbal vocal expressions, such as laughter, sobbing, and screams, are an important source of emotional information in social interactions. However, the investigation of how we process these vocal cues entered the research agenda only recently. Here, we introduce a new corpus of nonverbal vocalizations, which we recorded and submitted to perceptual and acoustic validation. It consists of 121 sounds expressing four positive emotions (achievement/triumph, amusement, sensual pleasure, and relief) and four negative ones (anger, disgust, fear, and sadness), produced by two female and two male speakers. For perceptual validation, a forced choice task was used (n = 20), and ratings were collected for the eight emotions, valence, arousal, and authenticity (n = 20). We provide these data, detailed for each vocalization, for use by the research community. High recognition accuracy was found for all emotions (86 %, on average), and the sounds were reliably rated as communicating the intended expressions. The vocalizations were measured for acoustic cues related to temporal aspects, intensity, fundamental frequency (f0), and voice quality. These cues alone provide sufficient information to discriminate between emotion categories, as indicated by statistical classification procedures; they are also predictors of listeners' emotion ratings, as indicated by multiple regression analyses. This set of stimuli seems a valuable addition to currently available expression corpora for research on emotion processing. It is suitable for behavioral and neuroscience research and might as well be used in clinical settings for the assessment of neurological and psychiatric patients. The corpus can be downloaded from Supplementary Materials.
	Keyword: Adult; Auditory Perception; Cues; Emotions; Female; Humans; Interpersonal Relations; Judgment; Male; Nonverbal Communication; Recognition (Psychology); Regression Analysis; Voice Quality; Young Adult
	URL: http://discovery.ucl.ac.uk/1460575/
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13	Sleep problems and language development in toddlers with Williams syndrome.
	Axelsson, EL; Hill, CM; Sadeh, A...
	In: Res Dev Disabil , 34 (11) pp. 3988-3996. (2013) (2013)
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14	Topic marking in a Shanghainese corpus: From observation to prediction
	Arppe, Antti; Han, Weifang; Newman, John. - : University of Alberta, 2013
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15	The Identification of Authors using Cross Document Co-Referencing
	Kernot, David, Engineering & Information Technology, UNSW Canberra, UNSW. - : University of New South Wales. Engineering & Information Technology, 2013
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16	Motivation to read and thoughtful literacy in an English as second or foreign language context
	Xu, Heng. - 2013
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